Schema | CortexCloud MCP

CortexCloud MCP

Describes the environment variables required to run the server.

Name	Required	Description	Default
`PORT`	No	HTTP listen port	3200
`CORTEXCLOUD_URL`	No	Upstream CortexCloud API base	https://api.cortexcloud.org
`EVM_PRIVATE_KEY`	Yes	Wallet that signs + pays each x402 call. Required.
`CORTEXCLOUD_PAYTO`	No	Wallet where call revenue settles	0x5a03…ea143

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": true }

Functions exposed to the LLM to take actions

Name	Description
cortex_estimate_optimizationA	Analyze an optimization problem for free — returns a decision block: recommended mode/backend, estimated provider cost, USDC price, benchmark evidence. Always call this before paying for cortex_optimize.
cortex_optimizeA	Solve a QUBO/Ising optimization problem (x402-paid, USDC on Base). Returns a job_id to poll with cortex_get_job. Prices per run: classical $0.05, hybrid $0.10, quantum $0.85 (charged = max(list, provider cost x 2.0)). Use mode=auto unless you specifically need quantum.
cortex_get_jobA	Poll an optimization job by id. Free — returns status, solution, objective, error.
cortex_list_backendsA	List solver backends (classical/hybrid/quantum) with availability, per-backend estimated provider cost, effective price, and sellable flag. Free — check this before choosing a quantum backend.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/jonahthan433/cortexcloud-mcp'

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